标题:ObjectSense: A scalable multi-objects recognition system based on partial-duplicate image retrieval
作者:Wang, Shuang ;Xue, Yunfeng ;Chu, Lingyang ;Jiang, Yuhao ;Jiang, Shuqiang
作者机构:[Wang, Shuang ;Xue, Yunfeng ;Chu, Lingyang ;Jiang, Shuqiang ] Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS, Beiji 更多
会议名称:3rd ACM International Conference on Multimedia Retrieval, ICMR 2013
会议日期:April 16, 2013 - April 20, 2013
来源:ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval
出版年:2013
页码:317-318
DOI:10.1145/2461466.2461524
摘要:In this demo, we present ObjectSense, a scalable object recognition system that recognizes multiple objects present in a static image or in the camera frames. Instead of applying learning based recognition framework, this system identifies objects through Partial-Duplicate Image Retrieval (PDIR) based method. First, objects are identified by measuring the similarity between an incoming image and reference image corpus that are labeled with the objects. To compute image similarities, we explore the Consistency Graph Model (CGM), which robustly rejects spatially inconsistent feature matches with the advantage of orientations and positions of local features. Then a kNN voting method is used to decide the object category based on the quantized image similarities. ObjectSense is scalable with promisingly high recall and accuracy, which fits well into recognition-guided shopping and human computer interaction. We built ObjectSense on two platforms, PC and Android. © 2013 Authors.
收录类别:EI
资源类型:会议论文
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